Assessment of health facility quality improvements, United Republic of Tanzania.

OBJECTIVE: To identify contextual factors associated with quality improvements in primary health-care facilities in the United Republic of Tanzania between two star rating assessments, focusing on local district administration and proximity to other facilities. METHODS: Facilities underwent star rating assessments in 2015 and between 2017 and 2018; quality was rated from zero to five stars. The consolidated framework for implementation research, adapted to a low-income context, was used to identify variables associated with star rating improvements between assessments. Facility data were obtained from several secondary sources. The proportion of the variance in facility improvement observed at facility and district levels and the influence of nearby facilities and district administration were estimated using multilevel regression models and a hierarchical spatial autoregressive model, respectively. FINDINGS: Star ratings improved at 4028 of 5595 (72%) primary care facilities. Factors associated with improvement included: (i) star rating in 2015; (ii) facility type (e.g. hospital) and ownership (e.g. public); (iii) participation in, or eligibility for, a results-based financing programme; (iv) local population density; and (v) distance from a major road. Overall, 20% of the variance in facility improvement was associated with district administration. Geographical clustering indicated that improvement at a facility was also associated with improvements at nearby facilities. CONCLUSION: Although the majority of facilities improved their star rating, there were substantial variations between facilities. Both district administration and proximity to high-performing facilities influenced improvements. Quality improvement interventions should take advantage of factors operating above the facility level, such as peer learning and peer pressure.

High quality health systems in the SDG era: Country-specific priorities for improving quality of care.

Hannah Leslie and co-authors discuss priorities in individual countries for health system reform.

Expectations of healthcare quality: A cross-sectional study of internet users in 12 low- and middle-income countries.

BACKGROUND: High satisfaction with healthcare is common in low- and middle-income countries (LMICs), despite widespread quality deficits. This may be due to low expectations because people lack knowledge about what constitutes good quality or are resigned about the quality of available services. METHODS AND FINDINGS: We fielded an internet survey in Argentina, China, Ghana, India, Indonesia, Kenya, Lebanon, Mexico, Morocco, Nigeria, Senegal, and South Africa in 2017 (N = 17,996). It included vignettes describing poor-quality services-inadequate technical or interpersonal care-for 2 conditions. After applying population weights, most of our respondents lived in urban areas (59%), had finished primary school (55%), and were under the age of 50 (75%). Just over half were men (51%), and the vast majority reported that they were in good health (73%). Over half (53%) of our study population rated the quality of vignettes describing poor-quality services as good or better. We used multilevel logistic regression and found that good ratings were associated with less education (no formal schooling versus university education; adjusted odds ratio [AOR] 2.22, 95% CI 1.90-2.59, P < 0.001), better self-reported health (excellent versus poor health; AOR 5.19, 95% CI 4.33-6.21, P < 0.001), history of discrimination in healthcare (AOR 1.47, 95% CI 1.36-1.57, P < 0.001), and male gender (AOR 1.32, 95% CI 1.23-1.41, P < 0.001). The survey did not reach nonusers of the internet thus only representing the internet-using population. CONCLUSIONS: Majorities of the internet-using public in 12 LMICs have low expectations of healthcare quality as evidenced by high ratings given to poor-quality care. Low expectations of health services likely dampen demand for quality, reduce pressure on systems to deliver quality care, and inflate satisfaction ratings. Policies and interventions to raise people's expectations of the quality of healthcare they receive should be considered in health system quality reforms.

Clinical performance among recent graduates in nine low- and middle-income countries.

OBJECTIVES: Recent studies have identified large and systematic deficits in clinical care in low-income countries that are likely to limit health gains. This has focused attention on effectiveness of pre-service education. One approach to assessing this is observation of clinical performance among recent graduates providing care. However, no studies have assessed performance in a standard manner across countries. We analysed clinical performance among recently graduated providers in nine low- or middle-income countries. METHODS: Service Provision Assessments from Haiti, Kenya, Malawi, Namibia, Nepal, Rwanda, Senegal, Tanzania, and Uganda were used. We constructed a Good Medical Practice Index that assesses completion of essential clinical actions using direct observations of care (range 0-1), calculated index scores by country and clinical cadre, and assessed the role of facility and clinical characteristics using regression analysis. RESULTS: Our sample consisted of 2223 clinicians with at least one observation of care. The Good Medical Practice score for the sample was 0.50 (SD = 0.20). Nurses and midwives had the highest score at 0.57 (SD = 0.20), followed by associate clinicians at 0.43 (SD = 0.18), and physicians at 0.42 (SD = 0.16). The average national performance varied from 0.63 (SD = 0.18) in Uganda to 0.39 (SD = 0.17) in Nepal, persisting after adjustment for facility and clinician characteristics. CONCLUSIONS: These results show substantial gaps in clinical performance among recently graduated clinicians, raising concerns about models of clinical education. Competency-based education should be considered to improve quality of care in LMICs. Observations of care offer important insight into the quality of clinical education.

OBJECTIFS: Des études récentes ont identifié des déficits importants et systématiques dans les soins cliniques dans les pays à faible revenu, susceptibles de limiter les progrès en matière de santé. Cela a attiré l'attention sur l'efficacité de la formation initiale. Une des approches permettant cette évaluation a été l'observation de la performance clinique des diplômés récents dispensant des soins. Cependant, aucune étude n'a évalué la performance de manière standard dans tous les pays. Nous avons analysé les performances cliniques de prestataires récemment diplômés dans neuf pays à revenu faible ou intermédiaire. MÉTHODES: Des évaluations de la fourniture de services en Haïti, au Kenya, au Malawi, en Namibie, au Népal, au Rwanda, au Sénégal, en Tanzanie et en Ouganda ont été utilisées. Nous avons construit un indice de bonne pratique médicale qui évalue l'achèvement des actions cliniques essentielles à l'aide d'observations directes des soins (plage de 0 à 1), calculé les scores d'index par pays et par cadre clinique, et évalué le rôle de l'établissement et des caractéristiques cliniques à l'aide d'une analyse de régression. RÉSULTATS: Notre échantillon était constitué de 2.223 cliniciens avec au moins une observation des soins. Le score de bonne pratique médicale pour l'échantillon était de 0,50 (écart-type = 0,20). Les infirmières et les sages-femmes avaient le score le plus élevé de 0,57 (écart-type = 0,20), suivies des cliniciens associés avec 0,43 (écart-type = 0,18) et des médecins avec 0,42 (écart-type = 0,16). La performance moyenne nationale variait de 0,63 (écart-type = 0,18) en Ouganda à 0,39 (écart-type = 0,17) au Népal, persistant après ajustement en fonction des caractéristiques de l'établissement et du clinicien. CONCLUSIONS: Ces résultats montrent des écarts substantiels dans les performances cliniques des cliniciens récemment diplômés, ce qui soulève des inquiétudes concernant les modèles de formation clinique. Une éducation axée sur les compétences devrait être envisagée pour améliorer la qualité des soins dans les PRFM. Les observations des soins offrent des informations importantes sur la qualité de la formation clinique.

User experience and satisfaction with specialty consultations and surgical care in secondary and tertiary level hospitals in Mexico.

BACKGROUND: To evaluate the association between user experience and satisfaction with specialty consultations and surgical care at the Mexican Institute of Social Security (IMSS) secondary and tertiary level hospitals. METHODS: We conducted secondary data analysis of the cross-sectional 2017 IMSS National Satisfaction Survey. The dependent variables were user satisfaction with outpatient consultation and with surgery. The study's independent variables were user experience with these services. The Lancet Global Health Commission on High Quality Health Systems in the Sustainable Development Era framework was used to guide the analysis. For each dependent variable a double-weighted Poisson regression model with robust variance was performed and considered clustering of the observations within 111 secondary level and 25 tertiary level hospitals. RESULTS: The study included 6713 outpatient consultation users and 528 surgery users. 83% of users attending outpatient consultations and 86.6% of users who underwent inpatient surgery at IMSS hospitals were satisfied with the service received. The common patient negative experiences with specialty consultations and surgical care were long waiting time (40%) and lack of hospital cleanliness (20%). An additional concern was the lack of clinical examination during the consultation (25%). Shorter waiting times, health provider courtesy, good communication, clinical examination, and hospital cleanliness were associated with patient satisfaction with specialty consultations. Having the surgery without prior postponement(s) and without complications increased the probability of patient satisfaction. CONCLUSION: Patient satisfaction with hospital outpatient consultations and surgical care may be raised by focusing on improvement strategies to enhance positive patient experiences with care.

Financing networks of care: a cross-case analysis from six countries.

OBJECTIVES: Describe experiences of countries with networks of care's (NOCs') financial arrangements, identifying elements, strategies and patterns. DESIGN: Descriptive using a modified cross-case analysis, focusing on each network's financing functions (collecting resources, pooling and purchasing). SETTING: Health systems in six countries: Argentina, Australia, Canada, Singapore, the United Kingdom and the USA. PARTICIPANTS: Large-scale NOCs. RESULTS: Countries differ in their strategies to implement and finance NOCs. Two broad models were identified in the six cases: top-down (funding centrally designed networks) and bottom-up (financing individual projects) networks. Despite their differences, NOCs share the goal of improving health outcomes, mainly through the coordination of providers in the system; these results are achieved by devoting extra resources to the system, including incentives for network formation and sustainability, providing extra services and setting incentive systems for improving the providers' performance. CONCLUSIONS: Results highlight the need to better understand the financial implications and alternatives for designing and implementing NOCs, particularly as a strategy to promote better health in low- and middle-income settings.

Adverse birth outcomes among women with 'low-risk' pregnancies in India: findings from the Fifth National Family Health Survey, 2019-21.

Background: Despite substantial progress in improving maternal and newborn health, India continues to experience high rates of newborn mortality and stillbirths. One reason may be that many births happen in health facilities that lack advanced services-such as Caesarean section, blood transfusion, or newborn intensive care. Stratification based on pregnancy risk factors is used to guide 'high-risk' women to advanced facilities. To assess the utility of risk stratification for guiding the choice of facility, we estimated the frequency of adverse newborn outcomes among women classified as 'low risk' in India. Methods: We used the 2019-21 Fifth National Family Health Survey (NFHS-5)-India's Demographic and Health Survey-which includes modules administered to women aged 15-49 years. In addition to pregnancy history and outcomes, the survey collected a range of risk factors, including biomarkers. We used national obstetric risk guidelines to classify women as 'high risk' versus 'low risk' and assessed the frequency of stillbirths, newborn deaths, and unplanned Caesarean sections for the respondent's last pregnancy lasting 7 or more months in the past five years. We calculated the proportion of deliveries occurring at non-hospital facilities in all the Indian states. Findings: Using data from nearly 176,699 recent pregnancies, we found that 46.6% of India's newborn deaths and 56.3% of stillbirths were among women who were 'low risk' according to national guidelines. Women classified as 'low risk' had a Caesarean section rate of 8.4% (95% CI 8.1-8.7%), marginally lower than the national average of 10.0% (95% CI 9.8-10.3%). In India as a whole, 32.0% (95% CI 31.5-32.5%) of deliveries occurred in facilities that were likely to lack advanced services. There was substantial variation across the country, with less than 5% non-hospital public facility deliveries in Punjab, Kerala, and Delhi compared to more than 40% in Odisha, Madhya Pradesh, and Rajasthan. Newborn mortality tended to be lower in states with highest hospital delivery rates. Interpretation: Individual risk stratification based on factors identified in pregnancy fails to accurately predict which women will have delivery complications and experience stillbirth and newborn death in India. Thus a determination of 'low risk' should not be used to guide women to health facilities lacking key life saving services, including Caesarean section, blood transfusion, and advanced newborn resuscitation and care. Funding: Bill and Melinda Gates Foundation and the World Bank. The findings, interpretations and conclusions expressed in the paper are entirely those of the authors, and do not represent the views of the Gates Foundation or of the World Bank, its Executive Directors, or the countries they represent.

How does the effectiveness of strategies to improve healthcare provider practices in low-income and middle-income countries change after implementation? Secondary analysis of a systematic review.

BACKGROUND: A recent systematic review evaluated the effectiveness of strategies to improve healthcare provider (HCP) performance in low-income and middle-income countries. The review identified strategies with varying effects, including in-service training, supervision and group problem-solving. However, whether their effectiveness changed over time remained unclear. In particular, understanding whether effects decay over time is crucial to improve sustainability. METHODS: We conducted a secondary analysis of data from the aforementioned review to explore associations between time and effectiveness. We calculated effect sizes (defined as percentage-point (%-point) changes) for HCP practice outcomes (eg, percentage of patients correctly treated) at each follow-up time point after the strategy was implemented. We estimated the association between time and effectiveness using random-intercept linear regression models with time-specific effect sizes clustered within studies and adjusted for baseline performance. RESULTS: The primary analysis included 37 studies, and a sensitivity analysis included 77 additional studies. For training, every additional month of follow-up was associated with a 0.19 %-point decrease in effectiveness (95% CI: -0.36 to -0.03). For training combined with supervision, every additional month was associated with a 0.40 %-point decrease in effectiveness (95% CI: -0.68 to -0.12). Time trend results for supervision were inconclusive. For group problem-solving alone, time was positively associated with effectiveness, with a 0.50 %-point increase in effect per month (95% CI: 0.37 to 0.64). Group problem-solving combined with training was associated with large improvements, and its effect was not associated with time. CONCLUSIONS: Time trends in the effectiveness of different strategies to improve HCP practices vary among strategies. Programmes relying solely on in-service training might need periodical refresher training or, better still, consider combining training with group problem-solving. Although more high-quality research is needed, these results, which are important for decision-makers as they choose which strategies to use, underscore the utility of studies with multiple post-implementation measurements so sustainability of the impact on HCP practices can be assessed.

Decentralization and Regionalization: Redesigning Health Systems for High Quality Maternity Care Comment on "Decentralization and Regionalization of Surgical Care: A Review of Evidence for the Optimal Distribution of Surgical Services in Low- and Middle-Income Countries".

The question of how to optimally design health systems in low- and middle-income countries (LMICs) for high quality care and survival requires context-specific evidence on which level of the health system is best positioned to deliver services. Given documented poor quality of care for surgical conditions in LMICs, evidence to support intentional health system design is urgently needed. Iverson and colleagues address this very important question. This commentary explores their findings with particular attention to how they apply to maternity care. Though surgical maternity care is a common healthcare need, maternal complications are often unpredictable and require immediate surgical attention in order to avert serious morbidity or mortality. A discussion of decentralization for maternity services must grapple with this tension and differentiate between facilities that can provide emergency surgical care and those that can not.

Being Known: A Grounded Theory Study of the Meaning of Quality Maternity Care to People of Color in Boston.

INTRODUCTION: Experiences of people of color with maternity care are understudied but understanding them is important to improving quality and reducing racial disparities in birth outcomes in the United States. This qualitative study explored experiences with maternity care among people of color to describe the meaning of quality maternity care to the cohort and, ultimately, to inform the design of a freestanding birth center in Boston. METHODS: Using a grounded theory design and elements of community-based participatory research, community activists developing Boston's first freestanding birth center and academics collaborated on this study. Semistructured interviews and focus groups with purposefully sampled people of color were conducted and analyzed using a constant comparative method. Interviewees described their maternity care experiences, ideas about perfect maternity care, and how a freestanding birth center might meet their needs. Open coding, axial coding, and selective coding were used to develop a local theory of what quality care means. RESULTS: A total of 23 people of color participated in semistructured interviews and focus groups. A core phenomenon arose from the narratives: being known (ie, being seen or heard, or being treated as individuals) during maternity care was an important element of quality care. Contextual factors, including interpersonal and structural racism, power differentials between perinatal care providers and patients, and the bureaucratic nature of hospital-based maternity care, facilitated negative experiences. People of color did extra work to prevent and mitigate negative experiences, which left them feeling traumatized, regretful, or sad about maternity care. This extra work came in many forms, including cognitive work such as worrying about racism and behavioral changes such as dressing differently to get health care needs met. DISCUSSION: Being known characterizes quality maternity care among people of color in our sample. Maternity care settings can provide personalized care that helps clients feel known without requiring them to do extra work to achieve this experience.

Health System Redesign to Shift to Hospital Delivery for Maternal and Newborn Survival: Feasibility Assessment in Kakamega County, Kenya.

Maternal and newborn health (MNH) service delivery redesign aims to improve maternal and newborn survival by shifting deliveries from poorly equipped primary care facilities to adequately prepared designated delivery hospitals. We assess the feasibility of such a model in Kakamega County, Kenya, by determining the capacity of hospitals to provide services under the redesigned model and the acceptability of the concept to providers and users. We find many existing system assets to implement redesign, including political will to improve MNH outcomes, a strong base of support among providers and users, and a good geographic spread of facilities to support implementation. There are nonetheless health workforce gaps, infrastructure deficits, and transportation challenges that would need to be addressed ahead of policy rollout. Implementing MNH redesign would require careful planning to limit unintended consequences and rigorous evaluation to assess impact and inform scale-up.

Health system redesign for maternal and newborn survival: rethinking care models to close the global equity gap.

Large disparities in maternal and neonatal mortality exist between low- and high-income countries. Mothers and babies continue to die at high rates in many countries despite substantial increases in facility birth. One reason for this may be the current design of health systems in most low-income countries where, unlike in high-income countries, a substantial proportion of births occur in primary care facilities that cannot offer definitive care for complications. We argue that the current inequity in care for childbirth is a global double standard that limits progress on maternal and newborn survival. We propose that health systems need to be redesigned to shift all deliveries to hospitals or other advanced care facilities to bring care in line with global best practice. Health system redesign will require investing in high-quality hospitals with excellent midwifery and obstetric care, boosting quality of primary care clinics for antenatal, postnatal, and newborn care, decreasing access and financial barriers, and mobilizing populations to demand high-quality care. Redesign is a structural reform that is contingent on political leadership that envisions a health system designed to deliver high-quality, respectful care to all women giving birth. Getting redesign right will require focused investments, local design and adaptation, and robust evaluation.

Level of confidence in and endorsement of the health system among internet users in 12 low-income and middle-income countries.

INTRODUCTION: People's confidence in and endorsement of the health system are key measures of system performance, yet are undermeasured in low-income and middle-income countries (LMICs). We explored the prevalence and predictors of these measures in 12 countries. METHODS: We conducted an internet survey in Argentina, China, Ghana, India, Indonesia, Kenya, Lebanon, Mexico, Morocco, Nigeria, Senegal and South Africa collecting demographics, ratings of quality, and confidence in and endorsement of the health system. We used multivariable logistic regression to assess the association between confidence/endorsement and self-reported quality of recent healthcare. RESULTS: Of 13 489 respondents, 62% reported a health visit in the past year. Applying population weights, 32% of these users were very confident that they could receive effective care if they were to 'become very sick tomorrow'; 30% endorsed the health system, that is, agreed that it 'works pretty well and only needs minor changes'. Reporting high quality in the last visit was associated with 4.48 and 2.69 greater odds of confidence (95% CI 3.64 to 5.52) and endorsement (95% CI 2.33 to 3.11). Having health insurance was positively associated with confidence and endorsement (adjusted odds ratio (AOR) 1.68, 95% CI 1.49 to 1.90 and AOR 1.34, 95% CI 1.22 to 1.48), while experiencing discrimination in healthcare was negatively associated (AOR 0.67, 95% CI 0.56 to 0.80 and AOR 0.63, 95% CI 0.53 to 0.76). CONCLUSION: Confidence and endorsement of the health system were low across 12 LMICs. This may hinder efforts to gain support for universal health coverage. Positive patient experience was strongly associated with confidence in and endorsement of the health system.

Measuring and improving the quality of tuberculosis care: A framework and implications from the Lancet Global Health Commission.

In this article, we describe the framework of the Lancet Global Health Commission on High Quality Health Systems, propose new and undermeasured indicators of TB care quality, and discuss implications of the Commission's key conclusions for measuring and improving the quality of TB care services. The Commission contends that measurement of quality should focus on the processes of care and their impacts. In addition to monitoring treatment coverage and the availability of tools, governments should consider indicators of clinical competence (for e.g. ability of providers to correctly diagnose TB and adhere to treatment guidelines), of timely, continuous and integrated care and of respectful and patient-centered care. Indicators of impact include TB mortality and treatment success rates, but also quality of life and daily functioning among TB patients, public trust in TB services, and bypassing of the formal health system for TB care. Cascades of care, from initial care seeking to recurrence-free survival, should be built in every high-burden country to monitor quality longitudinally. In turn, improvement efforts should target the foundations of health systems and consider the Commission's four universal actions: governing for quality, redesigning service delivery, transforming the health workforce and igniting demand for quality TB services. Important work remains to validate new indicators of TB care quality, develop data collection systems for new measures, and to test new strategies for improving the delivery of competent and respectful TB care.

Latent class analysis of the social determinants of health-seeking behaviour for delivery among pregnant women in Malawi.

INTRODUCTION: In the era of Sustainable Development Goals, reducing maternal and neonatal mortality is a priority. With one of the highest maternal mortality ratios in the world, Malawi has a significant opportunity for improvement. One effort to improve maternal outcomes involves increasing access to high-quality health facilities for delivery. This study aimed to determine the role that quality plays in women's choice of delivery facility. METHODS: A revealed-preference latent class analysis was performed with data from 6625 facility births among women in Malawi from 2013 to 2014. Responses were weighted for national representativeness, and model structure and class number were selected using the Bayesian information criterion. RESULTS: Two classes of preferences exist for pregnant women in Malawi. Most of the population 65.85% (95% CI 65.847% to 65.853%) prefer closer facilities that do not charge fees. The remaining third (34.15%, 95% CI 34.147% to 34.153%) prefers central hospitals, facilities with higher basic obstetric readiness scores and locations further from home. Women in this class are more likely to be older, literate, educated and wealthier than the majority of women. CONCLUSION: For only one-third of pregnant Malawian women, structural quality of care, as measured by basic obstetric readiness score, factored into their choice of facility for delivery. Most women instead prioritise closer care and care without fees. Interventions designed to increase access to high-quality care in Malawi will need to take education, distance, fees and facility type into account, as structural quality alone is not predictive of facility type selection in this population.

Predicted effect of regionalised delivery care on neonatal mortality, utilisation, financial risk, and patient utility in Malawi: an agent-based modelling analysis.

BACKGROUND: Health-care regionalisation, in which selected services are concentrated in higher-level facilities, has successfully improved the quality of complex medical care. However, the effectiveness of this strategy in routine maternal care is unknown. Malawi has established a national goal of halving its neonatal mortality by 2030. In this study, we aimed to assess the effect of obstetric service regionalisation in pregnant women and their newborn babies in Malawi. METHODS: In this analysis, we assessed regionalisation through the use of an agent-based simulation model. We used a previously estimated utilisation function, incorporating both patient-specific and health-facility-specific characteristics, to inform patient choice. The model was validated against known utilisation patterns in Malawi. Four regionalisation scenarios were compared with the status quo: scenario 1 restricted deliveries to facilities currently capable of providing caesarean sections; scenario 2 had the same restrictions as scenario 1, but with selected facilities upgraded to provide caesarean sections; scenario 3 restricted delivery to facilities that provided five or more basic emergency obstetric and neonatal care services in the preceding 3 months; and scenario 4 had the same restrictions as scenario 3, but with selected facilities upgraded to provide at least five basic emergency obstetric and neonatal care services. We assessed neonatal mortality, utilisation, travel distance, median out-of-pocket expenditure, and proportion of women facing catastrophic expenditure. The effects of upgrading the obstetric readiness of all facilities, of removing all user fees, and of upgrading without restriction were considered in scenario analyses. Heterogeneity and parameter uncertainty were incorporated to create 95% posterior credible intervals (PCIs). FINDINGS: Scenarios restricting women to give birth in facilities with caesarean section capabilities reduced neonatal mortality by 11·4 deaths per 1000 livebirths (scenario 1; 95% PCI 9·8-13·1) and 11·6 deaths per 1000 livebirths (scenario 2; 10·2-13·1), whereas scenarios restricting women to facilities that provided five or more basic emergency obstetric and neonatal care services did not affect neonatal mortality. Similarly, the caesarean section rate in Malawi, which is 4·6% under the status quo, was predicted to rise significantly in scenario 1 (14·7%, 95% PCI 14·5-14·9; p<0·0001) and scenario 2 (10·4%, 10·2-10·6; p<0·0001), but not in scenarios 3 and 4. Women were required to travel longer distances in scenario 1 (increase of 7·2 km, 95% PCI 4·5-9·9) and in scenario 2 (4·4 km, 1·5-7·2) than in the status quo (p<0·0001). Out-of-pocket costs tripled (p<0·0001; status quo vs scenario 1 and scenario 2), and the risk of catastrophic expenditure significantly increased from a baseline of 6·4% (95% PCI 6·1-6·6) to 14·7% (14·5-14·9) in scenario 1 and 11·3% (11·0-11·5) in scenario 2. This increase was especially pronounced among the poor (p<0·0001; status quo vs scenario 1 and scenario 2). INTERPRETATION: Policies restricting women to give birth in facilities with caesarean section capabilities is likely to result in significant decreases in neonatal mortality and might allow Malawi to meet its goal of halving its neonatal mortality by 2030. However, this improvement comes at the cost of increased distances to care and worsening financial risks among women. FUNDING: Bill & Melinda Gates Foundation, Damon Runyon Cancer Research Foundation.

Four delays of child mortality in Rwanda: a mixed methods analysis of verbal social autopsies.

OBJECTIVES: We sought to understand healthcare-seeking patterns and delays in obtaining effective treatment for rural Rwandan children aged 1-5 years by analysing verbal and social autopsies (VSA). Factors in the home, related to transport and to quality of care in the formal health sector (FHS) were thought to contribute to delays. DESIGN: We collected quantitative and qualitative cross-sectional data using the validated 2012 WHO VSA tool. Descriptive statistics were performed. We inductively and deductively coded narratives using the three delays model, conducted thematic content analysis and used convergent mixed methods to synthesise findings. SETTING: The study took place in the catchment areas of two rural district hospitals in Rwanda-Kirehe and Southern Kayonza. Participants were caregivers of children aged 1-5 years who died in our study area between March 2013 and February 2014. RESULTS: We analysed 77 VSAs. Although 74% of children (n=57) had contact with the FHS before dying, most (59%, n=45) died at home. Many caregivers (44%, n=34) considered using traditional medicine and 23 (33%) actually did. Qualitative themes reflected difficulty recognising the need for care, the importance of traditional medicine, especially for 'poisoning' and poor perceived quality of care. We identified an additional delay-phase IV-which occurred after leaving formal healthcare facilities. These delays were associated with caregiver dissatisfaction or inability to adhere to care plans. CONCLUSION: Delays in deciding to seek care (phase I) and receiving quality care in FHS (phase III) dominated these narratives; delays in reaching a facility (phase II) were rarely discussed. An unwillingness or inability toadhere to treatment plans after leaving facilities (phase IV) were an important additional delay. Improving quality of care, especially provider capacity to communicate danger signs/treatment plans and promote adherence in the presence of alternative explanatory models informed by traditional medicine, could help prevent childhood deaths.

In Low- And Middle-Income Countries, Is Delivery In High-Quality Obstetric Facilities Geographically Feasible?

Delivery in a health facility is a key strategy for reducing maternal and neonatal mortality, yet increasing use of facilities has not consistently translated into reduced mortality in low- and middle-income countries. In such countries, many deliveries occur at primary care facilities, where the quality of care is poor. We modeled the geographic feasibility of service delivery redesign that shifted deliveries from primary care clinics to hospitals in six countries: Haiti, Kenya, Malawi, Namibia, Nepal, and Tanzania. We estimated the proportion of women within two hours of the nearest delivery facility, both currently and under redesign. Today, 83-100 percent of pregnant women in the study countries have two-hour access to a delivery facility. A policy of redesign would reduce two-hour access by at most 10 percent, ranging from 0.6 percent in Malawi to 9.9 percent in Tanzania. Relocating delivery services to hospitals would not unduly impede geographic access to care in the study countries. This policy should be considered in low- and middle-income countries, as it may be an effective approach to reducing maternal and newborn deaths.

PHC Progression Model: a novel mixed-methods tool for measuring primary health care system capacity.

High-performing primary health care (PHC) is essential for achieving universal health coverage. However, in many countries, PHC is weak and unable to deliver on its potential. Improvement is often limited by a lack of actionable data to inform policies and set priorities. To address this gap, the Primary Health Care Performance Initiative (PHCPI) was formed to strengthen measurement of PHC in low-income and middle-income countries in order to accelerate improvement. PHCPI's Vital Signs Profile was designed to provide a comprehensive snapshot of the performance of a country's PHC system, yet quantitative information about PHC systems' capacity to deliver high-quality, effective care was limited by the scarcity of existing data sources and metrics. To systematically measure the capacity of PHC systems, PHCPI developed the PHC Progression Model, a rubric-based mixed-methods assessment tool. The PHC Progression Model is completed through a participatory process by in-country teams and subsequently reviewed by PHCPI to validate results and ensure consistency across countries. In 2018, PHCPI partnered with five countries to pilot the tool and found that it was feasible to implement with fidelity, produced valid results, and was highly acceptable and useful to stakeholders. Pilot results showed that both the participatory assessment process and resulting findings yielded novel and actionable insights into PHC strengths and weaknesses. Based on these positive early results, PHCPI will support expansion of the PHC Progression Model to additional countries to systematically and comprehensively measure PHC system capacity in order to identify and prioritise targeted improvement efforts.